A vehicle control system increases the travel distance of a vehicle by inhibiting reduction in the SOC of a battery even when the output of an engine is limited. The control system is characterized by comprising: an electric motor that drives a vehicle: an engine that drives a power generator that generates electric power to be supplied to the electric motor; a battery that is configured to be chargeable by the power generator and that is electrically connected to the electric motor; and a controller that controls the electric motor.

An autonomous vehicle includes sensor subsystem(s) that output a sensor signal. A perception subsystem (i) detects an agent in a vicinity of the autonomous vehicle and (ii) generates a motion signal that describes at least one of a past motion or a present motion of the agent. An intention prediction subsystem processes the sensor signal to generate an intention signal that describes at least one intended action of the agent. A behavior prediction subsystem processes the motion signal and the intention signal to generate a behavior prediction signal that describes at least one predicted behavior of the agent. A planner subsystem processes the behavior prediction signal to plan a driving decision for the autonomous vehicle.

A driver assist device and an adaptive warning method thereof are provided. The driver assist device includes a processor and a non-transitory storage medium containing program instructions executed by the processor. The processor detects outdoor and indoor information of a vehicle using a detector and determines a warning mode based on a traveling situation and a driver state identified through the detector when a warming-requiring situation is recognized during an operation of a driver assist function. A warning is then output based on the determined warning mode.

Systems and methods for limiting driver distraction, such as improving (e.g., maintaining) driver attention to driving when driving distractions are detected, are provided. A system may include at least one sensor for determining an attention of a driver on a travel path and an interface module configured to reengage attention of the driver on the travel path. An image capturing device may detect an environment surrounding the vehicle. A logic device may determine whether the environment surrounding the vehicle includes an external distraction or whether the driver is distracted by an internal distraction. The at least one sensor may monitor the driver for a distracted behavior. The driver may be required to take an action when a distraction is determined. For example, the driver may interact with a driver monitoring system to verify reengagement to driving (e.g., by identifying a second vehicle on the roadway).

Apparatuses, systems, and methods are provided for the utilization of vehicle control systems to cause a vehicle to take preventative action responsive to the detection of a near short term adverse driving scenario. A vehicle control system may receive information corresponding to vehicle operation data and ancillary data. Based on the received vehicle operation data and the received ancillary data, a multi-dimension risk score module may calculate risk scores associated with the received vehicle operation data and the received ancillary data. Subsequently, the vehicle control systems may cause the vehicle to perform at least one of a close call detection action and a close call detection alert to lessen the risk associated with the received vehicle operation data and the received ancillary data.

A mobile agricultural machine receives a topographic map indicative of topographic characteristics of a worksite, wherein the topographic characteristics are based on data collected at or prior to a first time and receiving supplemental data indicative of characteristics relative to the worksite, the supplemental data collected after the first time. A topographic confidence output is generated which is indicative of a confidence level in the topographic characteristics of the worksite as indicated by the topographic map, based on the topographic map and the supplemental data. In some examples, an action signal is generated to control an action based on the topographic confidence output.

A vehicular automated parking system includes a camera having a field of view rearward of the vehicle. When the vehicle is parked in a parking space, with a forward vehicle parked in front of the vehicle and a rearward vehicle parked behind the vehicle, the vehicular automated parking system determines a forward limit of the parking space responsive to a driver of the vehicle driving the vehicle forward until a front end of the vehicle is close to the forward vehicle. Responsive to the determined forward limit of the parking space, and responsive to processing by an image processor of image data captured by the camera, the vehicular automated parking system controls the vehicle when the vehicle is leaving the parking space in a manner that avoids the forward vehicle parked in front of the vehicle and the rearward vehicle parked behind the vehicle.

In a marker system (1) which includes a plurality of magnetic markers (10) disposed on a road surface for driving assist control of a vehicle (5) including automatic traveling control and in which a wireless tag is affixed to a partial magnetic marker (10A) of the plurality of magnetic markers (10), a sign (1M) for distinguishing between a partial magnetic marker (10A) with a wireless tag affixed thereto and another magnetic marker (10B) without a wireless tag affixed thereto is provided. Thus, it is possible to associate the detected magnetic marker (10) and the wireless tag as a transmission source of tag waves with each other with high reliability.

Excess fuel consumption monitor and feedback systems for vehicles include sensor arrays of two primary types including those sensors deployed as part of a vehicle manufacturer established sensor suite and sensors deployed as after-market sensors. Together, these sensor suites include sensors coupled to vehicle subsystems and operating environments associated with the vehicle. Data from these sensors may be used as parametric inputs to drive algorithmic calculations which have outputs that express excess fuel consumption. Expressions of excess fuel consumption may be made instantaneously as real-time feedback to a vehicle operator/driver and/or a fleet manager as part of a summary report.

A vehicle for determining a risk state of the user by classifying the state of a user into a plurality of stages includes a communicator configured to receive sleeping time data of a user and terminal usage data of the user from a user terminal, a first sensor configured to acquire image data regarding a surrounding of the vehicle, a second sensor configured to acquire driving time data of the vehicle and heading direction data of the vehicle, an alarm, and a controller. The controller is configured to acquire relax data of the user, calculate a risk value, classify a fatigue state of the user, identify a plurality of vehicle driving states, and assign a different weight to each of the vehicle driving states according to the risk type to determine whether the user is in a risk state, and if so, provide a risk alarm.